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Load Oracle Eloqua Data to a Database Using Embulk


Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load Oracle Eloqua data to a database.

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Eloqua, Embulk easily loads data from Oracle Eloqua to any supported destination. In this article, we explain how to use the CData JDBC Driver for Eloqua in Embulk to load Oracle Eloqua data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Oracle Eloqua data. When you issue complex SQL queries to Oracle Eloqua, the driver pushes supported SQL operations, like filters and aggregations, directly to Oracle Eloqua and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Configure a JDBC Connection to Oracle Eloqua Data

Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Eloqua\lib).

Embulk supports JDBC connectivity, so you can easily connect to Oracle Eloqua and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Oracle Eloqua.

There are two authentication methods available for connecting to Oracle Eloqua: Login and OAuth. The Login method requires you to have the Company, User, and Password of the user.

If you do not have access to the username and password or do not wish to require them, you can use OAuth authentication. OAuth is better suited for allowing other users to access their own data. Using login credentials is better suited for accessing your own data.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Oracle Eloqua JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.oracleeloqua.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a typical JDBC connection string for Oracle Eloqua:

jdbc:oracleeloqua:User=user;Password=password;Company=CData;

Load Oracle Eloqua Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

  1. Install the JDBC Input Plugin in Embulk.
    https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc
    2. embulk gem install embulk-input-jdbc
  2. In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
    https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysql embulk gem install embulk-output-mysql

With the input and output plugins installed, we are ready to load Oracle Eloqua data into MySQL using Embulk.

Create a Job to Load Oracle Eloqua Data

Start by creating a config file in Embulk, using a name like oracleeloqua-mysql.yml.

  1. For the input plugin options, use the CData JDBC Driver for Eloqua, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.oracleeloqua.OracleEloquaDriver), and the JDBC URL from above
  2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (oracleeloqua-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.oracleeloqua.jar driver_class: cdata.jdbc.oracleeloqua.OracleEloquaDriver url: jdbc:oracleeloqua:User=user;Password=password;Company=CData; table: "Campaign" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Campaign" mode: insert

After creating the file, run the Embulk job.

embulk run oracleeloqua-mysql.yml

After running the the Embulk job, find the Salesforce data in the MySQL table.

Load Filtered Oracle Eloqua Data

In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.oracleeloqua.jar driver_class: cdata.jdbc.oracleeloqua.OracleEloquaDriver url: jdbc:oracleeloqua:User=user;Password=password;Company=CData; query: "SELECT Name, ActualCost FROM Campaign WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Campaign" mode: insert

More Information & Free Trial

By using CData JDBC Driver for Eloqua as a connector, Embulk can integrate Oracle Eloqua data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.

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